Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration
CVPR 2023
AutoRecon: Automated 3D Object Discovery and Reconstruction
CVPR 2023
Autoregressive Visual Tracking
CVPR 2023
Auto-Weighted Multi-View Clustering for Large-Scale Data
AAAI 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
NeurIPS 2023
Auxiliary Modality Learning with Generalized Curriculum Distillation
ICML 2023
AVATAR: A Parallel Corpus for Java-Python Program Translation
ACL 2023
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
CVPR 2023
AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR
CVPR 2023
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis
NeurIPS 2023
AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation
ACL 2023
A Weakly Supervised Classifier and Dataset of White Supremacist Language
ACL 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
CVPR 2023
AxomiyaBERTa: A Phonologically-aware Transformer Model for Assamese
ACL 2023
Backdooring Neural Code Search
ACL 2023
Background-Mixed Augmentation for Weakly Supervised Change Detection
AAAI 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Back Translation for Speech-to-text Translation Without Transcripts
ACL 2023
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning
COLT 2023
Bag of Tricks for Unsupervised Text-to-Speech
ICLR 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection
CVPR 2023
Balanced Product of Calibrated Experts for Long-Tailed Recognition
CVPR 2023
Balancing Lexical and Semantic Quality in Abstractive Summarization
ACL 2023
Balancing Logit Variation for Long-Tailed Semantic Segmentation
CVPR 2023
Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
ACL 2023